research Projects

Current Research

My current research broadly covers the topics of computational biology (with an emphasis on in-silico antibody-antigen interaction modelling, antibody design and evolution), and geometric deep learning. 

I update these lists on an ad-hoc basis as I have time. Therefore, these will not necessarily be up-to-date. The latest set of research works can be found on Google Scholar!

Previous Research

Prior projects, specifically conducted during (or slightly before or slightly after) the undergraduate studies, are hosted on the Archived Projects Page. 

Note: For selected publications below, PDF versions of the articles are provided, purely for academic, non-commercial and/or personal use ONLY. Further, the versions posted are NOT the final, camera-ready manuscripts and thus, I do not warrant such PDF versions are identical to the final versions available in conference proceedings or journals. 

I update these lists on an ad-hoc basis as I have time. Therefore, these will not necessarily be up-to-date. Please see Google Scholar or ORCID for the latest list!

All publications, except manuscripts under the preprint section, are peer-reviewed. 

Journals

Deep geometric framework to predict antibody–antigen binding affinity

N. Bandara, D. Premathilaka, S. Chandanayake, S. Hettiarachchi, V. Varenthirarajah, A. Munasinghe, K. Madhawa, S. Charles 

Journal of Structural Biology [2025] - Q1

[Paper] [Project Page]

EyeTrAES: Fine-grained, Low-Latency Eye Tracking via Adaptive Event Slicing

A. Sen, N. Bandara, I. Gokarn, T. Kandappu, A. Misra

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) [2024] - Q1

[Paper] [Codes]

Beyond the borders: Mentoring enhances professional skills

N. N. Tun, S. Hayek, J. Quintero, N. Bandara, I. Ceroni, D. Cavazos, J. Santos

IEEE Pulse [2024] 

[Paper]

conferenceS

SaccadeX: Directed Acyclic Graph-based Semi-Supervised Learning of Continuous Ocular Dynamics from Sparse Neuromorphic Streams

N. Bandara, T. Kandappu, A. Misra

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) [2026] 

[Paper] [Project Page]

Elemantra: An End-to-End Framework Empowered with Edge AI to Tackle Human-Elephant Conflict

N. Bandara, D. Bandara

IEEE Applied Sensing Conference (APSCON) [2025] 

[Paper] [Codes]

EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking

N. Bandara, T. Kandappu, A. Sen, I. Gokarn, A. Misra

38th Conference on Neural Information Processing Systems (NeurIPS) [2024] 

[Paper] [Project Page]

Complex-Valued DNN for Broadband Dielectric Characterization of Dispersive Lossy Materials

N. Bandara, M. Gugliermino, M. Lumia, G. Virone, F. Vipiana, D. O. Rodriguez-Duarte

IEEE Latin American Conference on Antennas and Propagation (LACAP) [2024] as an Oral Session 

[Paper] [Codes]

Ensemble Deep Learning for Automated Dust Storm Detection Using Satellite Images

N. S. Bandara

International Research Conference on Smart Computing and Systems Engineering (SCSE) [2022] as an Oral Session 

[Paper] [Codes] [Dataset]

WORKSHOPS

Inference-Time Gaze Refinement for Micro-Expression Recognition: Enhancing Event-Based Eye Tracking with Motion-Aware Post-Processing 

N. Bandara, T. Kandappu, A. Misra

International Joint Conference on Artificial Intelligence (IJCAI) Workshops [2025] as an Oral Session

[Paper] [Codes]

Event-Based Eye Tracking. 2025 Event-based Vision Workshop 

Q. Chen et al. 

Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops [2025]

[Paper]

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results 

L. Sun et al. 

Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops [2025]

[Paper]

Fact-Checking: A Realm for Multi-Stakeholder Model 

M. Siu, M. Hatch, L. Kellerhof, N. Bandara, I. Inggrianti

United Nations Internet Governance Forum [2020] as an Oral Session

[Link 1] [Link 2]

ABSTRACT PRESENTATIONS

Braineocare: a low-cost and user-friendly EEG monitoring system for screening neonatal seizures

S. Rajapakshe, S. Liyanagoonawardena, P. Kandanaarachchi, H. Kariyawasam, J. Pradeepkumar, S. Chandanayake, N. Bandara, K. Wickremasinghe, C. Edussooriya, J. Wanigasinghe, A. De Silva

16th Annual Academic Congress of the Association of Sri Lankan Neurologists [2023] 

[Proceedings] [Demonstration Video]

Predicting Autism Spectrum Disorder in Children based on Facial Morphological Characteristics

N. Bandara, S. Hettiarachchi, P. Athukorala

IEEE EMBS International Student Conference - Moratuwa [2021] as an Oral Session

[Abstract] [Presentation] [Proceedings]

An IoT-empowered System for Patient Monitoring and Diagnosing: Towards a Device for Mass Surveillance in Global Pandemics 

N. Abeynayake, S. Aldeniya, S. Hettiachchi, R. De Silva, N. Bandara

IEEE EMBS International Student Conference - Moratuwa [2021] as an Oral Session

[Abstract] [Presentation] [Proceedings]

Statistical Prediction for analyzing Epidemiological Characteristics of COVID-19 using Comparative Modelling

N. Bandara, P. Athukorala, S. Hettiarachchi

International Research Conference, Sri Lanka Technological Campus [2020] as an Oral Session

[Abstract] [Oral Presentation] [Presentation]

PREPRINTS

Rethinking Object Detection in terms of Classification and Localization through Parallel Deep Learning Models

N. Bandara, S. Chandanayake, D. Premathilaka, C. Ekenayaka

ResearchGate [2022] 

[Paper]

AirSPEC: An IoT-empowered Air Quality Monitoring System integrated with a Machine Learning Framework to Detect and Predict defined Air Quality Parameters

N. Bandara, S. Hettiarachchi, P. Athukorala

Arxiv [2021] 

[Paper] [Codes]